Most people are uncomfortable with data. Estimates, analytics, and data-driven predictions — they can all be confusing and overwhelming. Some of this discomfort is based on experience. Everyone remembers a time when their data was simply wrong, a prediction was misleading, and the consequences were serious.

Until recently people could easily ignore data in their daily work. The company’s “gearheads” and “quants” were isolated in specialist departments,...